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The robust adaptive control of chaotic systems with unknown parameters and external disturbance via a scalar input
Author(s) -
Luo Runzi
Publication year - 2015
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2540
Subject(s) - control theory (sociology) , disturbance (geology) , scalar (mathematics) , chaotic systems , chaotic , adaptive control , robust control , computer science , control (management) , control system , mathematics , engineering , artificial intelligence , geometry , electrical engineering , paleontology , biology
Summary This paper investigates the control of chaotic systems in the presence of unknown parameters, model uncertainties, and external disturbance. We first discuss the control of a class of chaotic systems and then investigate the control of general chaotic systems. Based on the adaptive control scheme, some novel criteria are proposed via a backstepping‐like procedure. As an example, the control of the Zhang hyperchaotic system is investigated via a single input. Some numerical simulations are given to demonstrate the robustness and efficiency of the proposed approach. Copyright © 2015 John Wiley & Sons, Ltd.